file-brief
Agent-agnostic skill that turns task input files into reusable structural briefs and a per-task searchable index (OpenAI Codex, Claude Code, DeepSeek Harness)
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Agent-agnostic skill that turns task input files into reusable structural briefs and a per-task searchable index (OpenAI Codex, Claude Code, DeepSeek Harness)
Personalization plugin for the DeepSeek Harness (dsh): teach your assistant who you are, who it is, and how it should behave. Adds a Personalization page to dsh settings (custom instructions, nicknames, persona) and injects the content into every agent turn's system prompt.
Add selected DSH assistant text to the composer as a structured reference.
Turn-outline sidebar tab for dsh-better-sidebar: fold a session into user turns (input + tool steps + output) with structured jump-back into the conversation | DSH 轮次轨迹侧边栏:按用户轮次折叠会话(输入+工具步骤+输出),一键定位回对话原位
Convert Office documents (.doc/.docx/.xls/.xlsx/.ppt/.pptx) and PDFs (incl. scanned, via local OCR) to structurally-formatted Markdown, powered by MarkItDown. CLI + dsh agent tool.
乔哈里认知四象限对话梳理工具 / Johari cognition-quadrant dialog prompt composer — adds a button above the composer that opens a 2×2 quadrant panel (我知道/不知道 × AI知道/不知道) to groom conversation context into a structured prompt written back into the draft.
Sidebar skill hub for DeepSeek Harness Web GUI — shows the current/used skills of the active session and enables one or several skills at once by injecting their instructions into the conversation. 🌟 侧边栏技能中心:显示当前会话正在使用/已使用的技能,并可一次启用一个或数个技能(注入技能说明,整轮对话可用)。
distro_info: structured wsl -l -v, default vs current distro, UNC path safety.
A paper-review panel for the DeepSeek Harness: converts PDF papers into structured, selectable text (columns, headings, tables, sub/superscripts, table of contents) with figure and display-equation rendering, a floating ask-about-the-selection dialog, and per-project paper stores under a Paper workspace.
DSH-Plugin: multi-engine cross-validated search — parallel queries across Brave/Tavily/DuckDuckGo/Wikipedia (Bing/Mojeek optional), URL dedupe, confidence tiers.
统一管理 DSH 规则:编辑全局规则 ~/.dsh/AGENTS.md、编辑项目 AGENTS.md、LLM 自动拆分项目规则为分层 AGENTS.md + skills。合并自 dsh-global-rules 与 dsh-rule-splitter。
dsh plugin: opencode-style json_schema structured output via a generic StructuredOutput tool, /json-schema command, and native JSON Schema validation.
DSH-Plugin: minimal infrastructure entry — infra_status / infra_bootstrap tools that probe the mounted infra stack (memory, observability, search, skills) and report readiness.
Local-first code intelligence graph for DeepSeek Harness: structural search, blast radius, temporal memory, and 27 agent skills over Memtrace MCP.
Visual plan mode for DeepSeek Harness: structured plan.json + plan.md, an editable React Flow canvas, comments, plan diff, versioned revisions, and reliable write-back to the agent.
JSON 转 Go:把 JSON 数据转换为带 json tag 的 Go 结构体
Generate structured Feishu/Lark spreadsheet quotes with auto cost & profit calculation. 飞书电子表格报价单生成器:自动计算成本、人力、利润率、付款节点,含项目明细、资源分配、ROI 预估等工作表。A DeepSeek Harness (dsh) plugin bundle that installs the lark-quote-sheet-generator skill.
Model-facing MS Word (.docx) tools: read documents as Markdown or structured blocks, create documents from Markdown, and edit documents round-trip; ships binary fs providers (writeBytes, incl. a sandbox-preserving one) for hosts without it
Mol* 3D structure viewer preview for DSH Web, overriding dsh-file-explorer's previews for .cif/.pdb and small-molecule/docking files
Arknights Rhine Lab archive-terminal reconstruction for the DeepSeek Harness Web GUI, with reversible deep styling and restrained institutional HUD
Load Cursor, Gemini CLI, and GitHub Copilot workspace instructions into DeepSeek Harness.
JSON 转 Rust:把 JSON 数据转换为 serde Rust 结构体
Edit the user-global instructions file (~/.dsh/AGENTS.md) from the Web settings UI
Turn a structured outline into a presentation for DeepSeek Harness (dsh): a self-contained HTML deck that presents offline with speaker notes and prints to PDF, plus optional editable .pptx export. Five committed themes.